Hadeel Alharbi
- Education top 5%
- Information Systems top 5%
- Artificial Intelligence top 10%
- Clinical Psychology
- Computer Science Applications top 5%
- Co-authors
- Shadi AljawarnehAbdelsalam M. MaatukHasan RashaidehEbitisam K. ElberkawiRohit LambaAnurag JainTarun GulatiHoussem Jerbi
- Topics
- Online and Blended Learning (5 papers)Online Learning and Analytics (4 papers)Organizational and Employee Performance (4 papers)
- Partner nations
- Saudi ArabiaAustraliaTaiwan
In The Last Decade
Hadeel Alharbi
19 papers receiving 617 citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Education 229
- Information Systems 150
- Artificial Intelligence 103
- Clinical Psychology 98
- Computer Science Applications 87
Countries citing papers authored by Hadeel Alharbi
This map shows the geographic impact of Hadeel Alharbi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Hadeel Alharbi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hadeel Alharbi more than expected).
Fields of papers citing papers by Hadeel Alharbi
This network shows the impact of papers produced by Hadeel Alharbi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Hadeel Alharbi. The network helps show where Hadeel Alharbi may publish in the future.
Co-authorship network of co-authors of Hadeel Alharbi
This figure shows the co-authorship network connecting the top 25 collaborators of Hadeel Alharbi. A scholar is included among the top collaborators of Hadeel Alharbi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hadeel Alharbi. Hadeel Alharbi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 6 | |
| 7 | 11 | |
| 8 | 8 | |
| 9 | 6 | |
| 10 | 3 | |
| 11 | 4 | |
| 12 | 10 | |
| 13 | 0 | |
| 14 | 7 | |
| 15 | The COVID-19 pandemic and E-learning: challenges and opportunities from the perspective of students and instructorsbreakdown → | 462 |
| 16 | 1 | |
| 17 | 0 | |
| 18 | 1 | |
| 19 | 1 | |
| 20 | 2 |
About Hadeel Alharbi
Hadeel Alharbi is a scholar working on Computer Science Applications, Information Systems and Management and Human-Computer Interaction, having authored 24 papers that have together received 645 indexed citations. Recurring topics across this work include Online and Blended Learning (5 papers), Online Learning and Analytics (4 papers) and Organizational and Employee Performance (4 papers). The work is most often cited by research in Computer Science Applications (87 citations), Information Systems and Management (58 citations) and Education (229 citations). Hadeel Alharbi has collaborated with scholars based in Saudi Arabia, Australia and Taiwan. Frequent co-authors include Shadi Aljawarneh, Abdelsalam M. Maatuk, Hasan Rashaideh, Ebitisam K. Elberkawi, Rohit Lamba, Anurag Jain, Tarun Gulati, Houssem Jerbi, Kamaljeet Sandhu and Vasilios N. Katsikis. Their work appears in journals such as Research in autism spectrum disorders, Frontiers in Medicine and Saudi Pharmaceutical Journal.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.